An interactive evaluation method of decentralized procurement plan by multi-objective genetic algorithm

Author

Kobayashi, Ryoji ; Mori, Masakatsu ; Samejima, Masaki ; Komoda, Norihisa

Author_Institution

Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan

fYear

2013

fDate

29-31 July 2013

Firstpage

1

Lastpage

8

Abstract

This paper addresses evaluation of a decentralized procurement plan for the support of the discussion among decision-makers with considering a catastrophic disaster. For the evaluation of the decentralized procurement plan, we have formulated the decentralized procurement planning problem as 3-objective optimization problem. However, multiple-objective genetic algorithms (MOGA) to solve the problem take several minutes and display many Pareto solutions. We propose the interactive evaluation method of the decentralized procurement plan that is an expanded interactive MOGA (iMOGA) with loss evaluation simulator and solution selection by characteristics of the decentralized procurement plan. Experimental results show that the proposed method can allow the decision-makers to find their preference solutions with 38% fewer interactions than the basic iMOGA can.

Keywords

decision making; genetic algorithms; planning; procurement; supply chains; 3-objective optimization problem; catastrophic disaster; decentralized procurement planning problem; expanded interactive MOGA; iMOGA; interactive evaluation method; multiobjective genetic algorithm; supply chain; Electric breakdown; Genetic algorithms; Pareto optimization; Planning; Procurement; Supply chains; Decentralized Procurement Plan; Interactive Evaluation; Multi-Objective Genetic Algorithm; Supply Chain;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Business (ICE-B), 2013 International Conference on

Conference_Location

Reykjavik

Type

conf

Filename

7230676